Automated Item Processing System with Multi-Angle Imaging
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Solution Overview
Problem
Current systems for processing items, such as postal and delivery services, face challenges in efficiently sorting and managing items due to non-standard sizes and placement of instructions, relying heavily on trained individuals and lacking integration with technological advances like computing for automated data processing and analysis.
Innovation Solution
An item distribution system equipped with a camera and computing system that captures images of item labels, generates scan data, and compares it to databases to determine item disposition, redirect items, and manage tasks, providing automated processing and fraud detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated scanning technology is used to read item instructions, then processing speed and productivity are improved, but the system becomes unreliable when items are nonstandard size or information is non-uniformly placed
Solution Approach 1:
The system changes the parameter of image capture by using multiple cameras positioned at different angles and locations to capture images of items from various perspectives. This allows the system to adapt to nonstandard item sizes and non-uniform information placement, maintaining scan accuracy while preserving high processing speed through automated multi-angle imaging and selection.
2Reliability
If trained individuals are used to manually sort items, then reliability and adaptability are improved, but productivity is reduced and the system cannot leverage technological advances
Solution Approach 1:
The system enables self-service by using automated image capture and processing algorithms that independently determine the optimal image from multiple captures without human intervention. The system automatically compares captured images, selects the clearest image containing item information, and proceeds with processing, thereby maintaining high reliability while achieving high productivity through technological automation.
Solution Approach 2:
The system replaces the mechanical human sorting process with an automated computational system that captures multiple images, processes them through algorithms to identify the clearest image, extracts item information, and determines sorting decisions. This substitution eliminates the need for trained individuals while maintaining or improving both reliability and productivity.
3Measurement precision
If multiple images are captured from different angles, then measurement precision and reliability are improved, but device complexity and energy consumption increase
Solution Approach 1:
The system segments the image capture function into multiple independent cameras positioned at different angles, each capturing images from its specific viewpoint. This segmentation allows the system to obtain comprehensive visual information about items with varying orientations and sizes. The segmented approach maintains measurement precision while managing device complexity through modular, independent camera units that can be selectively activated.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system enables efficient item processing, reduces reliance on trained personnel, and integrates technological advances for improved sorting, routing, and revenue protection by automating the sorting and management of items based on scanned data.
Implementation Method 1
a camera suitable for capturing an image of a label located on an item being processed
Data Source
Figure 1
Figure 2
Figure 2A
AI summary
Methods, systems and devices for item processing. The systems can include a PASS module that can include features that receive inputs relating to an item for processing and provide those inputs to other components and/or modules of a PASS system and/or of another system. The PASS system can include a variety of modules, including the PASS module, and can collect information and/or inputs from the variety of modules of the PASS system and use that information in item processing. The methods of item processing can use the PASS system and the PASS module to perform a variety of functions including, for example, revenue protection, sorting of items, task management, sampling and data collection, redirecting if enroute items, and personnel management.